A Co-Simulation Framework for Power System Analysis

Oh, Seaseung; Chae, Su Young

doi:10.3390/en9030131

Cited by 11 publications

(9 citation statements)

References 21 publications

(21 reference statements)

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“…Both, although being exact at synchronization points, tend to oscillate amidst them. To avoid introducing discontinuities, extrapolation can be smoothed with splines [32] or additional interpolation [33].…”

Section: Chopoly: Causal Hopping Oblivious Polynomials For Low-complementioning

confidence: 99%

CHOPtrey: contextual online polynomial extrapolation for enhanced multi-core co-simulation of complex systems

et al. 2017

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The growing complexity of Cyber-Physical Systems (CPS), together with increasingly available parallelism provided by multi-core chips, fosters the parallelization of simulation. Simulation speed-ups are expected from co-simulation and parallelization based on model splitting into weak-coupled sub-models, as for instance in the framework of Functional Mockup Interface (FMI). However, slackened synchronization between sub-models and their associated solvers running in parallel introduces integration errors, which must be kept inside acceptable bounds.CHOPtrey denotes a forecasting framework enhancing the performance of complex system co-simulation, with a trivalent articulation. First, we consider the framework of a Computationally Hasty Online Prediction system (CHOPred). It allows to improve the trade-off between integration speed-ups, needing large communication steps, and simulation precision, needing frequent updates for model inputs. Second, smoothed adaptive forward prediction improves co-simulation accuracy. It is obtained by past-weighted extrapolation based on Causal Hopping Oblivious Polynomials (CHOPoly). And third, signal behavior is segmented to handle the discontinuities of the exchanged signals: the segmentation is performed in a Contextual & Hierarchical Ontology of Patterns (CHOPatt).Implementation strategies and simulation results demonstrate the framework ability to adaptively relax data communication constraints beyond synchronization points which sensibly accelerate simulation. The CHOPtrey framework extends the range of applications of standard Lagrange-type methods, often deemed unstable. The embedding of predictions in lag-dependent smoothing and discontinuity handling demonstrates its practical efficiency.

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Section: Chopoly: Causal Hopping Oblivious Polynomials For Low-complementioning

confidence: 99%

CHOPtrey: contextual online polynomial extrapolation for enhanced multi-core co-simulation of complex systems

et al. 2017

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“…There are several delay compensation methods in the literature. The method proposed in [29] uses extrapolation, and its accuracy drops when there is a discontinuity in signals or when a large solution time‐step is used. The interface used in [30] adopts multi‐area Thevenin equivalent technique to partition the network.…”

Section: Novel Bfast–emt Co‐simulatormentioning

confidence: 99%

Multi‐rate co‐simulation of power system transients using dynamic phasor and EMT solvers

Rupasinghe

Filizadeh

Gole

et al. 2020

J. eng.

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“…In [15], a co-simulation framework by two independent EMT simulations with a time-delay compensation algorithm is proposed to improve the co-simulation accuracy, but is not suitable for large distribution networks. In [16], a novel threephase dynamic analyzer algorithm is presented that enables the study of electromechanical transients in unbalanced networks without using EMTP programs.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Co-Simulation Methods for Combined Transmission-Distribution System With Integration Time Step Impact on Convergence

Venkatraman

Khaitan

Ajjarapu

2019

IEEE Trans. Power Syst.

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Combined Transmission and Distribution Systems (CoTDS) simulation for power systems requires development of algorithms and software that are numerically stable and at the same time accurately simulate dynamic events that can occur in practical systems. The dynamic behavior of transmission and distribution systems are vastly different, especially with the increased deployment of distribution generation. The time scales of simulation can be orders of magnitude apart making the combined simulation extremely challenging. This has led to increased research in applying co-simulation techniques for integrated simulation of the two systems. In this paper, a rigorous mathematical analysis on convergence of numerical methods in co-simulation is presented. Two methods for cosimulation of CoTDS are proposed using parallel and series computation of the transmission system and distribution systems. Both these co-simulation methods are validated against total system simulation in a single time-domain simulation environment. The series computation co-simulation method is shown to have better numerical stability at larger integration time steps. The series computation co-simulation method is additionally validated against commercial EMTP software and the results show remarkable correspondence.

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A Co-Simulation Framework for Power System Analysis

Cited by 11 publications

References 21 publications

CHOPtrey: contextual online polynomial extrapolation for enhanced multi-core co-simulation of complex systems

CHOPtrey: contextual online polynomial extrapolation for enhanced multi-core co-simulation of complex systems

Multi‐rate co‐simulation of power system transients using dynamic phasor and EMT solvers

Dynamic Co-Simulation Methods for Combined Transmission-Distribution System With Integration Time Step Impact on Convergence

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